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Li Yang

Not to be confused with: Yang Li, Yang Li

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Lien, Donald & Yang, Li & Zhou, Chunyang & Lee, Geul, 2014. "Co-movement between RMB and New Taiwan Dollars: Evidences from NDF markets," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 265-272.

    Cited by:

    1. Wing-Choong Lai & Kim-Leng Goh, 2019. "Impact of Chinese Yuan Devaluation on the Dependence Structure: The Archimedean Copula Approach," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-27, March.
    2. Wing-Choong Lai & Kim-Leng Goh, 2021. "Dependence Structure Between Renminbi Movements and Volatility of Foreign Exchange Rate Returns," China Report, , vol. 57(1), pages 57-78, February.
    3. Reboredo, Juan C. & Ugando, Mikel, 2014. "US dollar exchange rate and food price dependence: Implications for portfolio risk management," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 72-89.
    4. Liow, Kim Hiang, 2015. "Volatility spillover dynamics and relationship across G7 financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 328-365.
    5. Ahmad, Wasim & Prakash, Ravi & Uddin, Gazi Salah & Chahal, Rishman Jot Kaur & Rahman, Md. Lutfur & Dutta, Anupam, 2020. "On the intraday dynamics of oil price and exchange rate: What can we learn from China and India?," Energy Economics, Elsevier, vol. 91(C).
    6. Atilgan, Yigit & Demirtas, K. Ozgur & Simsek, Koray D., 2016. "Derivative markets in emerging economies: A survey," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 88-102.
    7. Ospina-Forero, Luis & Granados, Oscar M., 2023. "A network analysis of the structure and dynamics of FX derivatives markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    8. He, Qing & Wang, Wenqing & Yu, Jishuang, 2023. "Exchange rate co-movements and corporate foreign exchange exposures: A study on RMB," International Review of Financial Analysis, Elsevier, vol. 90(C).
    9. Sun, Qi & Xu, Weidong, 2018. "Wavelet analysis of the co-movement and lead–lag effect among multi-markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 489-499.

  2. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2014. "Oil price shocks and agricultural commodity prices," Energy Economics, Elsevier, vol. 44(C), pages 22-35.

    Cited by:

    1. Trinh Nguyen Chau & Frank Scrimgeour, 2023. "Will climate change jeopardize the Vietnamese target of maintaining farmland for food security? A fractional multinomial logit analysis of land use choice," Agricultural Economics, International Association of Agricultural Economists, vol. 54(4), pages 570-587, July.
    2. Sun, Yunpeng & Gao, Pengpeng & Raza, Syed Ali & Shah, Nida & Sharif, Arshian, 2023. "The asymmetric effects of oil price shocks on the world food prices: Fresh evidence from quantile-on-quantile regression approach," Energy, Elsevier, vol. 270(C).
    3. Lee, Chi-Chuan & Lee, Chien-Chiang & Ning, Shao-Lin, 2017. "Dynamic relationship of oil price shocks and country risks," Energy Economics, Elsevier, vol. 66(C), pages 571-581.
    4. Jen-Yu Lee & Tien-Thinh Nguyen & Hong-Giang Nguyen & Jen-Yao Lee, 2022. "Towards Predictive Crude Oil Purchase: A Case Study in the USA and Europe," Energies, MDPI, vol. 15(11), pages 1-15, May.
    5. Yun-Shi Dai & Ngoc Quang Anh Huynh & Qing-Huan Zheng & Wei-Xing Zhou, 2023. "Correlation structure analysis of the global agricultural futures market," Papers 2310.16849, arXiv.org.
    6. Afees Adebare Salisu & Idris A. Adediran, 2018. "The U.S. Shale Oil Revolution and the Behavior of Commodity Prices," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 3(1), pages 27-53, September.
    7. Anthony N. Rezitis & Gregor Kastner, 2021. "On the joint volatility dynamics in dairy markets," Papers 2104.12707, arXiv.org.
    8. Zhang, Zhikai & Wang, Yudong & Xiao, Jihong & Zhang, Yaojie, 2023. "Not all geopolitical shocks are alike: Identifying price dynamics in the crude oil market under tensions," Resources Policy, Elsevier, vol. 80(C).
    9. Raghavan, Mala, 2019. "An analysis of the global oil market using SVARMA models," Working Papers 2019-01, University of Tasmania, Tasmanian School of Business and Economics.
    10. Jiang, Yonghong & Jiang, Cheng & Nie, He & Mo, Bin, 2019. "The time-varying linkages between global oil market and China's commodity sectors: Evidence from DCC-GJR-GARCH analyses," Energy, Elsevier, vol. 166(C), pages 577-586.
    11. M. Thenmozhi & Shipra Maurya, 2020. "Crude Oil Volatility Transmission Across Food Commodity Markets: A Multivariate BEKK-GARCH Approach," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 20(2), pages 131-164, August.
    12. Yoon, Seong-Min, 2022. "On the interdependence between biofuel, fossil fuel and agricultural food prices: Evidence from quantile tests," Renewable Energy, Elsevier, vol. 199(C), pages 536-545.
    13. Wu, Bi-Bo, 2021. "The dynamics of oil on China’s commodity sectors: What can we learn from a quantile perspective?," Journal of Commodity Markets, Elsevier, vol. 23(C).
    14. Sungjun Cho & Chanaka N. Ganepola & Ian Garrett, 2019. "An analysis of illiquidity in commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(8), pages 962-984, August.
    15. Pick Schen Yip & Robert Brooks & Hung Xuan Do & Duc Khuong Nguyen, 2019. "Dynamic Volatility Spillover Effect between Oil and Agricultural Products," Working Papers 2019-009, Department of Research, Ipag Business School.
    16. Baoubadi Atozou & Koffi Akakpo, 2017. "Dynamic and Volatility of World Agricultural Market Prices: Impacts on Importations and Food Security in WAEMU," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(12), pages 180-194, December.
    17. Aharon, David Y. & Azman Aziz, Mukhriz Izraf & Kallir, Ido, 2023. "Oil price shocks and inflation: A cross-national examination in the ASEAN5+3 countries," Resources Policy, Elsevier, vol. 82(C).
    18. Xian, Hui & Gregory, Colson & Michael, Wetzstein, 2015. "Impact of nonrenewable on renewable energy: The case of wood pellets," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196833, Southern Agricultural Economics Association.
    19. Noureddine Benlagha & Wafa Abdelmalek, 2024. "Dynamic connectedness between energy and agricultural commodities: insights from the COVID-19 pandemic and Russia–Ukraine conflict," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(3), pages 781-825, September.
    20. Salah Uddin, Gazi & Lucey, Brian & Rahman, Md Lutfur & Stenvall, David, 2024. "Quantile coherency across bonds, commodities, currencies, and equities," Journal of Commodity Markets, Elsevier, vol. 33(C).
    21. Maryam Ahmad & Matteo Manera & Mehdi Sadeghzadeh, 2015. "Global Oil Market and the U.S. Stock Returns," Working Papers 2015.91, Fondazione Eni Enrico Mattei.
    22. Mutaju Isaack Marobhe & Jonathan Mukiza Peter Kansheba, 2023. "High frequency volatility spillover between oil and non-energy commodities during crisis and tranquil periods," SN Business & Economics, Springer, vol. 3(4), pages 1-27, April.
    23. Jiang, Zhe & Zhang, Lin & Zhang, Lingling & Wen, Bo, 2022. "Investor sentiment and machine learning: Predicting the price of China's crude oil futures market," Energy, Elsevier, vol. 247(C).
    24. Meng, Juan & Nie, He & Mo, Bin & Jiang, Yonghong, 2020. "Risk spillover effects from global crude oil market to China’s commodity sectors," Energy, Elsevier, vol. 202(C).
    25. Cui, Jinxin & Goh, Mark & Zou, Huiwen, 2021. "Coherence, extreme risk spillovers, and dynamic linkages between oil and China’s commodity futures markets," Energy, Elsevier, vol. 225(C).
    26. Khalfaoui, Rabeh & Shahzad, Umer & Ghaemi Asl, Mahdi & Ben Jabeur, Sami, 2023. "Investigating the spillovers between energy, food, and agricultural commodity markets: New insights from the quantile coherency approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 63-80.
    27. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    28. Jose Areola Hernandez & Syed Jawad Hussain Shahzad & Gazi Salah Uddin & Sang Hoon Kang, 2019. "Can agricultural and precious metal commodities diversify and hedge extreme downside and upside oil market risk? An extreme quantile approach," Post-Print hal-02159274, HAL.
    29. Dmitry Burakov, 2016. "Elasticity of Agricultural Prices in Russia: An Empirical Study of Energy and Monetary Channels," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 551-562.
    30. Ji, Qiang & Bouri, Elie & Roubaud, David & Shahzad, Syed Jawad Hussain, 2018. "Risk spillover between energy and agricultural commodity markets: A dependence-switching CoVaR-copula model," Energy Economics, Elsevier, vol. 75(C), pages 14-27.
    31. Duc Hong Vo & Tan Ngoc Vu & Anh The Vo & Michael McAleer, 2019. "Modelling the relationship between crude oil and agricultural commodity prices," Documentos de Trabajo del ICAE 2019-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    32. Khaled Mokni & Manel Youssef, 2020. "Empirical analysis of the cross‐interdependence between crude oil and agricultural commodity markets," Review of Financial Economics, John Wiley & Sons, vol. 38(4), pages 635-654, October.
    33. Loretta Mastroeni & Alessandro Mazzoccoli & Greta Quaresima & Pierluigi Vellucci, 2021. "Wavelet analysis and energy-based measures for oil-food price relationship as a footprint of financialisation effect," Papers 2104.11891, arXiv.org, revised Mar 2022.
    34. Zhuo Chen & Bo Yan & Hanwen Kang, 2022. "Dynamic correlation between crude oil and agricultural futures markets," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1798-1849, August.
    35. Agus Widarjono & Indah Susantun & Sarastri M. Ruchba & Ari Rudatin, 2020. "Oil and Food Prices for a Net Oil Importing-country: How Are Related in Indonesia?," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 255-263.
    36. Tule, Moses K. & Salisu, Afees A. & Chiemeke, Charles C., 2019. "Can agricultural commodity prices predict Nigeria's inflation?," Journal of Commodity Markets, Elsevier, vol. 16(C).
    37. Sui, Bo & Chang, Chun-Ping & Jang, Chyi-Lu & Gong, Qiang, 2021. "Analyzing causality between epidemics and oil prices: Role of the stock market," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 148-158.
    38. Naeem, Muhammad Abubakr & Hasan, Mudassar & Arif, Muhammad & Suleman, Muhammad Tahir & Kang, Sang Hoon, 2022. "Oil and gold as a hedge and safe-haven for metals and agricultural commodities with portfolio implications," Energy Economics, Elsevier, vol. 105(C).
    39. Stewart, Shamar L. & Isengildina Massa, Olga, 2024. "Food & Oil Price Volatility Dynamics: Insights from a TVP-SVAR-DCC-MIDAS Model," 2024 Annual Meeting, July 28-30, New Orleans, LA 343936, Agricultural and Applied Economics Association.
    40. Liu, Li & Wang, Yudong & Wu, Chongfeng & Wu, Wenfeng, 2016. "Disentangling the determinants of real oil prices," Energy Economics, Elsevier, vol. 56(C), pages 363-373.
    41. Espinasa, Ramon & ter Horst, Enrique & Reyes, Sergio Guerra & Manzano, Osmel & Molina, German & Rigobon, Roberto, 2017. "A micro-based model for world oil market," Energy Economics, Elsevier, vol. 66(C), pages 431-449.
    42. Xiangcai Meng, 2018. "Does Agricultural Commodity Price Co-move with Oil Price in the Time-Frequency Space? Evidence from the Republic of Korea," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 125-133.
    43. Hanif, Waqas & Areola Hernandez, Jose & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2021. "Tail dependence risk and spillovers between oil and food prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 195-209.
    44. Rehman, Mobeen Ur, 2019. "Energy shocks pricing model: A non-linear US sectoral based analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    45. Tan Ngoc Vu & Chi Minh Ho & Thang Cong Nguyen & Duc Hong Vo, 2020. "The Determinants of Risk Transmission between Oil and Agricultural Prices: An IPVAR Approach," Agriculture, MDPI, vol. 10(4), pages 1-14, April.
    46. Liu, Donghui & Meng, Lingjie & Wang, Yudong, 2020. "Oil price shocks and Chinese economy revisited: New evidence from SVAR model with sign restrictions," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 20-32.
    47. Salisu, Afees A. & Isah, Kazeem O. & Oyewole, Oluwatomisin J. & Akanni, Lateef O., 2017. "Modelling oil price-inflation nexus: The role of asymmetries," Energy, Elsevier, vol. 125(C), pages 97-106.
    48. Xiao Jing Cai & Zheng Fang & Youngho Chang & Shuairu Tian & Shigeyuki Hamori, 2020. "Co-movements in commodity markets and implications in diversification benefits," Empirical Economics, Springer, vol. 58(2), pages 393-425, February.
    49. Wen, Fenghua & Zhang, Keli & Gong, Xu, 2021. "The effects of oil price shocks on inflation in the G7 countries," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    50. Cheng, Natalie Fang Ling & Hasanov, Akram Shavkatovich & Poon, Wai Ching & Bouri, Elie, 2023. "The US-China trade war and the volatility linkages between energy and agricultural commodities," Energy Economics, Elsevier, vol. 120(C).
    51. Naeem, Muhammad Abubakr & Hamouda, Foued & Karim, Sitara, 2024. "Tail risk spillover effects in commodity markets: A comparative study of crisis periods," Journal of Commodity Markets, Elsevier, vol. 33(C).
    52. Abid, Ilyes & Benkraiem, Ramzi & Mzoughi, Hela & Urom, Christian, 2024. "From black gold to financial fallout: Analyzing extreme risk spillovers in oil-exporting nations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    53. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Adewuyi, Adeolu O. & Lee, Chien-Chiang, 2022. "Quantile risk spillovers between energy and agricultural commodity markets: Evidence from pre and during COVID-19 outbreak," Energy Economics, Elsevier, vol. 113(C).
    54. Zhao, Weigang & Cao, Yunfei & Miao, Bo & Wang, Ke & Wei, Yi-Ming, 2018. "Impacts of shifting China's final energy consumption to electricity on CO2 emission reduction," Energy Economics, Elsevier, vol. 71(C), pages 359-369.
    55. Maitra, Debasish & Guhathakurta, Kousik & Kang, Sang Hoon, 2021. "The good, the bad and the ugly relation between oil and commodities: An analysis of asymmetric volatility connectedness and portfolio implications," Energy Economics, Elsevier, vol. 94(C).
    56. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    57. Ebenezer, Appiah Collins & Jatoe, John Baptist D. & Mensa-Bonsu, Akwasi, 2018. "Food Price Sensitivity To Changes In Petroleum Price And Exchange Rate In Ghana: A Cointegration Analysis," 2018 Conference (2nd), August 8-11, Kumasi, Ghana 277791, Ghana Association of Agricultural Economists.
    58. Ahmadi, Maryam & Bashiri Behmiri, Niaz & Manera, Matteo, 2016. "How is volatility in commodity markets linked to oil price shocks?," Energy Economics, Elsevier, vol. 59(C), pages 11-23.
    59. Kang, Sang Hoon & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2019. "Exploring the time-frequency connectedness and network among crude oil and agriculture commodities V1," Energy Economics, Elsevier, vol. 84(C).
    60. Roberto Louis Forestal & Shih-Ming Pi, 2021. "Using Artificial Neural networks and Optimal Scaling Model to Forecast Agriculture Commodity Price: An Ecological-economic Approach," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(3), pages 1-3.
    61. Bilgili, Faik & Koçak, Emrah & Kuşkaya, Sevda & Bulut, Ümit, 2020. "Estimation of the co-movements between biofuel production and food prices: A wavelet-based analysis," Energy, Elsevier, vol. 213(C).
    62. Yang, Dong-Xiao & Wu, Bi-Bo & Tong, Jing-Yang, 2021. "Dynamics and causality of oil price shocks on commodities: Quantile-on-quantile and causality-in-quantiles methods," Resources Policy, Elsevier, vol. 74(C).
    63. Afees A. Salisu & Tirimisyu F. Oloko, 2017. "Are daily agricultural grains prices stationary? New evidence from GARCH-based unit root tests," Working Papers 036, Centre for Econometric and Allied Research, University of Ibadan.
    64. Fasanya, Ismail & Akinbowale, Seun, 2019. "Modelling the return and volatility spillovers of crude oil and food prices in Nigeria," Energy, Elsevier, vol. 169(C), pages 186-205.
    65. Dahl, Roy Endré & Oglend, Atle & Yahya, Muhammad, 2020. "Dynamics of volatility spillover in commodity markets: Linking crude oil to agriculture," Journal of Commodity Markets, Elsevier, vol. 20(C).
    66. I. Abid & R. Benkraiem & H. Mzoughi & C. Urom, 2024. "From black gold to financial fallout: Analyzing extreme risk spillovers in oil-exporting nations," Post-Print hal-04681726, HAL.
    67. Lin, Boqiang & Su, Tong, 2020. "Does oil price have similar effects on the exchange rates of BRICS?," International Review of Financial Analysis, Elsevier, vol. 69(C).
    68. Hao Chen & Hua Liao & Bao-Jun Tang & Yi-Ming Wei, 2016. "Impacts of OPEC's political risk on the international crude oil prices: An empirical analysis based on the SVAR models," CEEP-BIT Working Papers 96, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    69. Anthony N. Rezitis & Gregor Kastner, 2021. "On the joint volatility dynamics in international dairy commodity markets," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(3), pages 704-728, July.
    70. Mat Rahim, Siti Rohaya, 2014. "Asymmetric Cointegration: Barley and Crude Oil Price in United States," MPRA Paper 58447, University Library of Munich, Germany.
    71. Dalheimer, Bernhard & Herwartz, Helmut & Lange, Alexander, 2021. "The threat of oil market turmoils to food price stability in Sub-Saharan Africa," Energy Economics, Elsevier, vol. 93(C).
    72. Tiwari, Aviral Kumar & Khalfaoui, Rabeh & Solarin, Sakiru Adebola & Shahbaz, Muhammad, 2018. "Analyzing the time-frequency lead–lag relationship between oil and agricultural commodities," Energy Economics, Elsevier, vol. 76(C), pages 470-494.
    73. Zingbagba, Mark & Nunes, Rubens & Fadairo, Muriel, 2020. "The impact of diesel price on upstream and downstream food prices: Evidence from São Paulo," Energy Economics, Elsevier, vol. 85(C).
    74. Ayhan KAPUSUZOGLU & Merve KARACAER ULUSOY, 2015. "The interactions between agricultural commodity and oil prices: an empirical analysis," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(9), pages 410-421.
    75. Sam Olofin & Afees A. Salisu, 2017. "Modelling oil price-inflation nexus: The role of asymmetries and structural breaks," Working Papers 020, Centre for Econometric and Allied Research, University of Ibadan.
    76. Burakov, D., 2016. "Oil Prices, Exchange Rate and Prices for Agricultural Commodities: Empirical Evidence from Russia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 8(2), pages 1-15, June.
    77. Salisu, Afees A. & Adediran, Idris A. & Oloko, Tirimisiyu O. & Ohemeng, William, 2020. "The heterogeneous behaviour of the inflation hedging property of cocoa," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    78. Naeem, Muhammad Abubakr & Karim, Sitara & Hasan, Mudassar & Lucey, Brian M. & Kang, Sang Hoon, 2022. "Nexus between oil shocks and agriculture commodities: Evidence from time and frequency domain," Energy Economics, Elsevier, vol. 112(C).
    79. Eissa, Mohamad Abdelaziz & Al Refai, Hisham, 2019. "Modelling the symmetric and asymmetric relationships between oil prices and those of corn, barley, and rapeseed oil," Resources Policy, Elsevier, vol. 64(C).
    80. Bissoondoyal-Bheenick, Emawtee & Brooks, Robert & Do, Hung Xuan & Smyth, Russell, 2020. "Exploiting the heteroskedasticity in measurement error to improve volatility predictions in oil and biofuel feedstock markets," Energy Economics, Elsevier, vol. 86(C).
    81. Chien‐Chiang Lee & Chi‐Chuan Lee & Donald Lien, 2019. "Do country risk and financial uncertainty matter for energy commodity futures?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(3), pages 366-383, March.
    82. Cao, Yan & Cheng, Sheng, 2021. "Impact of COVID-19 outbreak on multi-scale asymmetric spillovers between food and oil prices," Resources Policy, Elsevier, vol. 74(C).
    83. Raza, Syed Ali & Guesmi, Khaled & Belaid, Fateh & Shah, Nida, 2022. "Time-frequency causality and connectedness between oil price shocks and the world food prices," Research in International Business and Finance, Elsevier, vol. 62(C).
    84. Navid Kargar Dehbidi & Mansour Zibaei & Mohammad Hassan Tarazkar, 2022. "The effect of climate change and energy shocks on food security in Iran's provinces," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(2), pages 417-437, April.
    85. El Montasser, Ghassen & Malek Belhoula, Mohamed & Charfeddine, Lanouar, 2023. "Co-explosivity versus leading effects: Evidence from crude oil and agricultural commodities," Resources Policy, Elsevier, vol. 81(C).
    86. Papa Gueye Fam & Rachida Hennani & Nicolas Huchet, 2017. "U.S. Monetary Policy, Commodity Prices And The Financialization Hypothesis," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 20, pages 53-77, December.
    87. Yonghong Jiang & Gengyu Tian & Bin Mo, 2020. "Spillover and quantile linkage between oil price shocks and stock returns: new evidence from G7 countries," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-26, December.
    88. Chowdhury, Mohammad Ashraful Ferdous & Meo, Muhammad Saeed & Uddin, Ajim & Haque, Md. Mahmudul, 2021. "Asymmetric effect of energy price on commodity price: New evidence from NARDL and time frequency wavelet approaches," Energy, Elsevier, vol. 231(C).
    89. Fasanya, Ismail O. & Awodimila, Crystal P., 2020. "Are commodity prices good predictors of inflation? The African perspective," Resources Policy, Elsevier, vol. 69(C).
    90. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2018. "Volatility Linkages between Energy and Food Prices: Case of Selected Asian Countries," ADBI Working Papers 829, Asian Development Bank Institute.
    91. Chishti, Muhammad Zubair & Khalid, Ali Awais & Sana, Moniba, 2023. "Conflict vs sustainability of global energy, agricultural and metal markets: A lesson from Ukraine-Russia war," Resources Policy, Elsevier, vol. 84(C).
    92. Liu, Feng & Shao, Shuai & Zhang, Chuanguo, 2020. "How do China's petrochemical markets react to oil price jumps? A comparative analysis of stocks and commodities," Energy Economics, Elsevier, vol. 92(C).
    93. Zhang, Chuanguo & Liu, Feng & Yu, Danlin, 2018. "Dynamic jumps in global oil price and its impacts on China's bulk commodities," Energy Economics, Elsevier, vol. 70(C), pages 297-306.
    94. Obayelu, Abiodun & Ogunmola, Omotoso & Obayelu, Oluwakemi & Adeyemi, Oluwatosin, 2021. "Crude Oil Price Shocks and Food Production Output in Oil Producing and Exporting Countries: The Case Study of Nigeria," 2021 Conference, August 17-31, 2021, Virtual 315394, International Association of Agricultural Economists.
    95. Michael Hachula & Malte Rieth, 2017. "Identifying Speculative Demand Shocks in Commodity Futures Markets through Changes in Volatility," Discussion Papers of DIW Berlin 1646, DIW Berlin, German Institute for Economic Research.
    96. Saeed Solaymani, 2022. "Global Energy Price Volatility and Agricultural Commodity Prices in Malaysia," Biophysical Economics and Resource Quality, Springer, vol. 7(4), pages 1-21, December.
    97. Zhang, Chuanguo & Qu, Xuqin, 2015. "The effect of global oil price shocks on China's agricultural commodities," Energy Economics, Elsevier, vol. 51(C), pages 354-364.
    98. Zhang, Zhikai & Wang, Yudong & Li, Bin, 2023. "Asymmetric spillover of geopolitical risk and oil price volatility: A global perspective," Resources Policy, Elsevier, vol. 83(C).
    99. Weigang Zhao & Yunfei Cao & Bo Miao & Ke Wang & Yi-Ming Wei, 2018. "Impacts of shifting China¡¯s final energy consumption to electricity on CO2 emission reduction," CEEP-BIT Working Papers 115, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    100. Yao, Ting & Zhang, Yue-Jun & Ma, Chao-Qun, 2017. "How does investor attention affect international crude oil prices?," Applied Energy, Elsevier, vol. 205(C), pages 336-344.
    101. Burakov, D. & Freidin, M., 2018. "Is the Halloween Effect Present on the Markets for Agricultural Commodities?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(2).
    102. Tan Ngoc Vu & Duc Hong Vo & Chi Minh Ho & Loan Thi-Hong Van, 2019. "Modeling the Impact of Agricultural Shocks on Oil Price in the US: A New Approach," JRFM, MDPI, vol. 12(3), pages 1-27, September.
    103. Mastroeni, Loretta & Mazzoccoli, Alessandro & Quaresima, Greta & Vellucci, Pierluigi, 2022. "Wavelet analysis and energy-based measures for oil-food price relationship as a footprint of financialisation effect," Resources Policy, Elsevier, vol. 77(C).
    104. Raymond Swaray & Afees A. Salisu, 2017. "The impact of crude oil prices on stock prices of oil firms: Should upstream-downstream dichotomy in supply chain be ignored?," Working Papers 021, Centre for Econometric and Allied Research, University of Ibadan.
    105. Jamel Trabelsi & Mohamed Mehdi Jelassi & Gaye Del Lo, 2017. "A Volatility Analysis of Agricultural Commodity and Crude Oil Global Markets," Applied Economics and Finance, Redfame publishing, vol. 4(2), pages 129-140, March.
    106. Lucotte, Yannick, 2016. "Co-movements between crude oil and food prices: A post-commodity boom perspective," Economics Letters, Elsevier, vol. 147(C), pages 142-147.
    107. Wu, You & Ren, Wenting & Wan, Jieru & Liu, Xiaoxue, 2023. "Time-frequency volatility connectedness between fossil energy and agricultural commodities: Comparing the COVID-19 pandemic with the Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 55(PA).
    108. Michal Čermák, 2017. "Leverage Effect and Stochastic Volatility in the Agricultural Commodity Market under the CEV Model," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(5), pages 1671-1678.
    109. Olanipekun, Ifedolapo O. & Usman, Ojonugwa, 2019. "Modelling Food and Nonfood Production in India: The Effects of Oil Price using Bayer-Hanck Combined Cointegration Approach," MPRA Paper 96336, University Library of Munich, Germany, revised 2019.
    110. Mokni, Khaled & Ben-Salha, Ousama, 2020. "Asymmetric causality in quantiles analysis of the oil-food ‏ ‏nexus since the 1960s," Resources Policy, Elsevier, vol. 69(C).
    111. Zhengwei MA & Rui XU & Xiucheng DONG, 2015. "World oil prices and agricultural commodity prices: The evidence from China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(12), pages 564-576.
    112. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2019. "Energy and Food Security: Linkages through Price Volatility," Energy Policy, Elsevier, vol. 128(C), pages 796-806.
    113. Antonella Basso & Maria Bruna Zolin, 2023. "Analyzing the land and labour productivity of farms producing renewable energy: the Italian case study," Journal of Productivity Analysis, Springer, vol. 59(2), pages 153-172, April.
    114. Guhathakurta, Kousik & Dash, Saumya Ranjan & Maitra, Debasish, 2020. "Period specific volatility spillover based connectedness between oil and other commodity prices and their portfolio implications," Energy Economics, Elsevier, vol. 85(C).
    115. Lof, Matthijs & Nyberg, Henri, 2017. "Noncausality and the commodity currency hypothesis," Energy Economics, Elsevier, vol. 65(C), pages 424-433.
    116. Jiang, Yonghong & Lao, Jiashun & Mo, Bin & Nie, He, 2018. "Dynamic linkages among global oil market, agricultural raw material markets and metal markets: An application of wavelet and copula approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 265-279.
    117. Vatsa, Puneet & Baek, Jungho, 2023. "Asymmetric influence of oil demand and supply shocks on meat commodities," Energy Economics, Elsevier, vol. 128(C).
    118. Michael Hachula & Malte Rieth, 2020. "Estimating the Impact of Financial Investments on Agricultural Futures Prices using Changes in Volatility," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 759-785, May.
    119. Han, Liyan & Zhou, Yimin & Yin, Libo, 2015. "Exogenous impacts on the links between energy and agricultural commodity markets," Energy Economics, Elsevier, vol. 49(C), pages 350-358.
    120. Zhang, Dayong & Broadstock, David C., 2020. "Global financial crisis and rising connectedness in the international commodity markets," International Review of Financial Analysis, Elsevier, vol. 68(C).
    121. Polat, Onur & Ertuğrul, Hasan Murat & Sakarya, Burçhan & Akgül, Ali, 2024. "TVP-VAR based time and frequency domain food & energy commodities connectedness an analysis for financial/geopolitical turmoil episodes," Applied Energy, Elsevier, vol. 357(C).
    122. Dervis Kirikkaleli & Hasan Güngör, 2021. "Co-movement of commodity price indexes and energy price index: a wavelet coherence approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-18, December.
    123. Umar, Zaghum & Jareño, Francisco & Escribano, Ana, 2021. "Oil price shocks and the return and volatility spillover between industrial and precious metals," Energy Economics, Elsevier, vol. 99(C).
    124. Wei, Yanfeng & Qiu, Feng & An, Henry & Zhang, Xindon & Li, Changhong & Guo, Xiaoying, 2024. "Exogenous oil supply shocks and global agricultural commodity prices: The role of biofuels," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 394-414.
    125. Elsayed, Ahmed H. & Naifar, Nader & Uddin, Gazi Salah & Wang, Gang-Jin, 2023. "Multilayer information spillover networks between oil shocks and banking sectors: Evidence from oil-rich countries," International Review of Financial Analysis, Elsevier, vol. 87(C).
    126. Liu, Renren & Chen, Jianzhong & Wen, Fenghua, 2021. "The nonlinear effect of oil price shocks on financial stress: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    127. Wang, Qizhen & Zhu, Yingming & Wang, Yudong, 2017. "The effects of oil shocks on export duration of China," Energy, Elsevier, vol. 125(C), pages 55-61.
    128. Yahya, Muhammad & Oglend, Atle & Dahl, Roy Endré, 2019. "Temporal and spectral dependence between crude oil and agricultural commodities: A wavelet-based copula approach," Energy Economics, Elsevier, vol. 80(C), pages 277-296.
    129. Peter ARENDAS, 2017. "The Halloween effect on the agricultural commodities markets," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(10), pages 441-448.
    130. Klein, Tony & Walther, Thomas, 2016. "Oil price volatility forecast with mixture memory GARCH," Energy Economics, Elsevier, vol. 58(C), pages 46-58.

  3. Pan, Zhiyuan & Wang, Yudong & Yang, Li, 2014. "Hedging crude oil using refined product: A regime switching asymmetric DCC approach," Energy Economics, Elsevier, vol. 46(C), pages 472-484.

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    1. Imran Yousaf & Shoaib Ali, 2020. "Discovering interlinkages between major cryptocurrencies using high-frequency data: new evidence from COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-18, December.
    2. Tariq Aziz & Ranjeeta Sadhwani & Ume Habibah & Mazin A. M. Al Janabi, 2020. "Volatility Spillover Among Equity and Commodity Markets," SAGE Open, , vol. 10(2), pages 21582440209, May.
    3. Akhtaruzzaman, Md & Banerjee, Ameet Kumar & Ghardallou, Wafa & Umar, Zaghum, 2022. "Is greenness an optimal hedge for sectoral stock indices?," Economic Modelling, Elsevier, vol. 117(C).
    4. Amine Ben Amar & Mondher Bouattour & Makram Bellalah & Stephane Goutte, 2024. "Shift Contagion and Minimum Causal Intensity Portfolio During the COVID-19 and the Ongoing Russia-Ukraine Conflict," Working Papers hal-04522103, HAL.
    5. Raza, Naveed & Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Syed Ali, 2018. "Do commodities effectively hedge real estate risk? A multi-scale asymmetric DCC approach," Resources Policy, Elsevier, vol. 57(C), pages 10-29.
    6. Lee, Hsiang-Tai, 2022. "Regime-switching angular correlation diversification," Finance Research Letters, Elsevier, vol. 50(C).
    7. Dark, Jonathan, 2024. "An adaptive long memory conditional correlation model," Journal of Empirical Finance, Elsevier, vol. 75(C).
    8. Huang, Yi & Yi, Qun & Kang, Jing-Xian & Zhang, Ya-Gang & Li, Wen-Ying & Feng, Jie & Xie, Ke-Chang, 2019. "Investigation and optimization analysis on deployment of China coal chemical industry under carbon emission constraints," Applied Energy, Elsevier, vol. 254(C).
    9. Jim Hanly, 2017. "Managing Energy Price Risk using Futures Contracts: A Comparative Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    10. Zhu, Pengfei & Lu, Tuantuan & Chen, Shenglan, 2022. "How do crude oil futures hedge crude oil spot risk after the COVID-19 outbreak? A wavelet denoising-GARCHSK-SJC Copula hedge ratio estimation method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    11. Mariagrazia Fallanca & Antonio Fabio Forgione & Edoardo Otranto, 2021. "Do the Determinants of Non-Performing Loans Have a Different Effect over Time? A Conditional Correlation Approach," JRFM, MDPI, vol. 14(1), pages 1-15, January.
    12. Geng, Qianjie & Wang, Yudong, 2024. "Forecasting the volatility of crude oil basis: Univariate models versus multivariate models," Energy, Elsevier, vol. 295(C).
    13. Aleksander Olstad & George Filis & Stavros Degiannakis, 2021. "Oil and currency volatilities: Co‐movements and hedging opportunities," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2351-2374, April.
    14. Billio, Monica & Casarin, Roberto & Osuntuyi, Anthony, 2018. "Markov switching GARCH models for Bayesian hedging on energy futures markets," Energy Economics, Elsevier, vol. 70(C), pages 545-562.
    15. Bai, Xiwen & Kavussanos, Manolis G., 2022. "Hedging IMO2020 compliant fuel price exposure using futures contracts," Energy Economics, Elsevier, vol. 110(C).
    16. John Cotter & Jim Hanly, 2014. "Performance of Utility Based Hedges," Working Papers 201404, Geary Institute, University College Dublin.
    17. Yousaf, Imran & Arfaoui, Nadia & Gubareva, Mariya, 2024. "Spillovers and hedging effectiveness between oil and US equity sectors: Evidence from the COVID pre- and post-vaccination phases," Research in International Business and Finance, Elsevier, vol. 69(C).
    18. Park, Jin Suk & Shi, Yukun, 2017. "Hedging and speculative pressures and the transition of the spot-futures relationship in energy and metal markets," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 176-191.
    19. Arfaoui, Nadia & Yousaf, Imran & Jareño, Francisco, 2023. "Return and volatility connectedness between gold and energy markets: Evidence from the pre- and post-COVID vaccination phases," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 617-634.
    20. Shrestha, Keshab & Subramaniam, Ravichandran & Peranginangin, Yessy & Philip, Sheena Sara Suresh, 2018. "Quantile hedge ratio for energy markets," Energy Economics, Elsevier, vol. 71(C), pages 253-272.
    21. Yuki Toyoshima & Shigeyuki Hamori, 2018. "Measuring the Time-Frequency Dynamics of Return and Volatility Connectedness in Global Crude Oil Markets," Energies, MDPI, vol. 11(11), pages 1-18, October.
    22. Akhtaruzzaman, Md & Boubaker, Sabri & Lucey, Brian M. & Sensoy, Ahmet, 2021. "Is gold a hedge or a safe-haven asset in the COVID–19 crisis?," Economic Modelling, Elsevier, vol. 102(C).
    23. Chen, Xiangyu & Tongurai, Jittima, 2021. "Cross-commodity hedging for illiquid futures: Evidence from China's base metal futures market," Global Finance Journal, Elsevier, vol. 49(C).
    24. Imran Yousaf & Elie Bouri & Shoaib Ali & Nehme Azoury, 2021. "Gold against Asian Stock Markets during the COVID-19 Outbreak," JRFM, MDPI, vol. 14(4), pages 1-23, April.
    25. Raza, Naveed & Ali, Sajid & Shahzad, Syed Jawad Hussain & Rehman, Mobeen Ur & Salman, Aneel, 2019. "Can alternative hedging assets add value to Islamic-conventional portfolio mix: Evidence from MGARCH models," Resources Policy, Elsevier, vol. 61(C), pages 210-230.
    26. Shrestha, Keshab & Subramaniam, Ravichandran & Rassiah, Puspavathy, 2017. "Pure martingale and joint normality tests for energy futures contracts," Energy Economics, Elsevier, vol. 63(C), pages 174-184.
    27. Indranil Ghosh & Manas K. Sanyal & R. K. Jana, 2021. "Co-movement and Dynamic Correlation of Financial and Energy Markets: An Integrated Framework of Nonlinear Dynamics, Wavelet Analysis and DCC-GARCH," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 503-527, February.
    28. Cui, Yan & Feng, Yun, 2020. "Composite hedge and utility maximization for optimal futures hedging," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 15-32.
    29. Billah, Mabruk & Amar, Amine Ben & Balli, Faruk, 2023. "The extreme return connectedness between Sukuk and green bonds and their determinants and consequences for investors," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    30. Néjib Hachicha & Amine Ben Amar & Ikrame Ben Slimane & Makram Bellalah & Jean-Luc Prigent, 2022. "Dynamic connectedness and optimal hedging strategy among commodities and financial indices," Post-Print hal-03745047, HAL.
    31. Xianling Ren & Xinping Yu, 2024. "Hedging performance analysis of energy markets: Evidence from copula quantile regression," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(3), pages 432-450, March.
    32. Lee, Hsiang-Tai & Lee, Chien-Chiang, 2022. "A regime-switching real-time copula GARCH model for optimal futures hedging," International Review of Financial Analysis, Elsevier, vol. 84(C).
    33. Čech, František & Zítek, Michal, 2022. "Marine fuel hedging under the sulfur cap regulations," Energy Economics, Elsevier, vol. 113(C).
    34. Chkili, Walid, 2016. "Dynamic correlations and hedging effectiveness between gold and stock markets: Evidence for BRICS countries," Research in International Business and Finance, Elsevier, vol. 38(C), pages 22-34.
    35. Syed Abul, Basher & Perry, Sadorsky, 2015. "Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH," MPRA Paper 68231, University Library of Munich, Germany.
    36. Zhang, Yueling & Li, Junjie & Yang, Xiaoxiao, 2021. "Comprehensive competitiveness assessment of four coal-to-liquid routes and conventional oil refining route in China," Energy, Elsevier, vol. 235(C).
    37. Wajdi Hamma & Ahmed Ghorbel & Anis Jarboui, 2021. "Hedging Islamic and conventional stock markets with other financial assets: comparison between competing DCC models on hedging effectiveness," Journal of Asset Management, Palgrave Macmillan, vol. 22(3), pages 179-199, May.
    38. Donald Lien & Hsiang‐Tai Lee & Her‐Jiun Sheu, 2018. "Hedging systematic risk in the commodity market with a regime‐switching multivariate rotated generalized autoregressive conditional heteroskedasticity model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(12), pages 1514-1532, December.
    39. Wen-Chung Hsu & Hsiang-Tai Lee, 2018. "Cross Hedging Stock Sector Risk with Index Futures by Considering the Global Equity Systematic Risk," IJFS, MDPI, vol. 6(2), pages 1-17, April.
    40. Hsiang‐Tai Lee, 2022. "A Markov regime‐switching Cholesky GARCH model for directly estimating the dynamic of optimal hedge ratio," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 389-412, March.
    41. Chai, Shanglei & Zhou, P., 2018. "The Minimum-CVaR strategy with semi-parametric estimation in carbon market hedging problems," Energy Economics, Elsevier, vol. 76(C), pages 64-75.

  4. Donald Lien & Gerui Lim & Li Yang & Chunyang Zhou, 2013. "Dynamic Dependence Between Liquidity and the S&P 500 Index Futures‐Cash Basis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(4), pages 327-342, April.

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    1. Joshua G. Maples & B. Wade Brorsen, 2022. "Handling the discontinuity in futures prices when time series modeling of commodity cash and futures prices," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(2), pages 139-152, June.
    2. Han, Jianlei & Pan, Zheyao, 2017. "On the relation between liquidity and the futures-cash basis: Evidence from a natural experiment," Journal of Financial Markets, Elsevier, vol. 36(C), pages 115-131.
    3. Lee, Jaeram & Kang, Jangkoo & Ryu, Doojin, 2015. "Common deviation and regime-dependent dynamics in the index derivatives markets," Pacific-Basin Finance Journal, Elsevier, vol. 33(C), pages 1-22.

  5. Donald Lien & Chongfeng Wu & Li Yang & Chunyang Zhou, 2013. "Dynamic and Asymmetric Dependences Between Chinese Yuan and Other Asia‐Pacific Currencies," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(8), pages 696-723, August.

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    1. Lien, Donald & Yang, Li & Zhou, Chunyang & Lee, Geul, 2014. "Co-movement between RMB and New Taiwan Dollars: Evidences from NDF markets," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 265-272.
    2. Tong, Bin & Diao, Xundi & Wu, Chongfeng, 2015. "Modeling asymmetric and dynamic dependence of overnight and daytime returns: An empirical evidence from China Banking Sector," Economic Modelling, Elsevier, vol. 51(C), pages 366-382.
    3. Pan, Zhiyuan & Zheng, Xu & Gong, Yuting, 2015. "A model-free test for contagion between crude oil and stock markets," Economics Letters, Elsevier, vol. 130(C), pages 1-4.
    4. Atilgan, Yigit & Demirtas, K. Ozgur & Simsek, Koray D., 2016. "Derivative markets in emerging economies: A survey," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 88-102.
    5. Xu, Yingying & Lien, Donald, 2020. "Dynamic exchange rate dependences: The effect of the U.S.-China trade war," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 68(C).
    6. Chang, Kuang-Liang, 2014. "The symmetrical and positive relationship between crude oil and nominal exchange rate returns," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 266-284.
    7. Tong, Bin & Wu, Chongfeng & Zhou, Chunyang, 2013. "Modeling the co-movements between crude oil and refined petroleum markets," Energy Economics, Elsevier, vol. 40(C), pages 882-897.

  6. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2013. "Oil price shocks and stock market activities: Evidence from oil-importing and oil-exporting countries," Journal of Comparative Economics, Elsevier, vol. 41(4), pages 1220-1239.

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    1. Wang, Yudong & Hao, Xianfeng, 2023. "Forecasting the real prices of crude oil: What is the role of parameter instability?," Energy Economics, Elsevier, vol. 117(C).
    2. Maghyereh, Aktham & Abdoh, Hussein, 2022. "Extreme dependence between structural oil shocks and stock markets in GCC countries," Resources Policy, Elsevier, vol. 76(C).
    3. Benkraiem, Ramzi & Lahiani, Amine & Miloudi, Anthony & Shahbaz, Muhammad, 2018. "New insights into the US stock market reactions to energy price shocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 169-187.
    4. Rodrigo da Silva Souza & Leonardo Bornacki Mattos, 2022. "Oil price shocks and global liquidity: macroeconomic effects on the Brazilian real," International Economics and Economic Policy, Springer, vol. 19(4), pages 761-781, October.
    5. Muhammad Kashif & Thomas Leirvik, 2022. "The MAX Effect in an Oil Exporting Country: The Case of Norway," JRFM, MDPI, vol. 15(4), pages 1-16, March.
    6. Saeed Shavvalpour & Hossein Khanjarpanah & Farhad Zamani & Armin Jabbarzadeh, 2017. "Petrochemical Products Market and Stock Market Returns: Empirical Evidence from Tehran Stock Exchange," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(2), pages 383-403, Spring.
    7. Boldanov, Rustam & Degiannakis, Stavros & Filis, George, 2017. "Time-varying correlation between oil and stock market volatilities: Evidence from oil-importing and oil-exporting countries," MPRA Paper 80435, University Library of Munich, Germany.
    8. Mbarki, Imen & Khan, Muhammad Arif & Karim, Sitara & Paltrinieri, Andrea & Lucey, Brian M., 2023. "Unveiling commodities-financial markets intersections from a bibliometric perspective," Resources Policy, Elsevier, vol. 83(C).
    9. Guochang Wang & Wai Keung Li & Ke Zhu, 2018. "New HSIC-based tests for independence between two stationary multivariate time series," Papers 1804.09866, arXiv.org.
    10. Mokni, Khaled & Youssef, Manel, 2019. "Measuring persistence of dependence between crude oil prices and GCC stock markets: A copula approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 14-33.
    11. Li, Hailing & Pei, Xiaoyun & Yang, Yimin & Zhang, Hua, 2024. "Assessing the impact of energy-related uncertainty on G20 stock market returns: A decomposed contemporaneous and lagged R2 connectedness approach," Energy Economics, Elsevier, vol. 132(C).
    12. Anna Créti & Zied Ftiti & Khaleb Guesmi, 2013. "Oil price impact on financial markets: co-spectral analysis for exporting versus importing countries," Working Papers hal-00822070, HAL.
    13. Demirer, Rıza & Ferrer, Román & Shahzad, Syed Jawad Hussain, 2020. "Oil price shocks, global financial markets and their connectedness," Energy Economics, Elsevier, vol. 88(C).
    14. Jose Eduardo Gomez-Gonzalez & Jorge Hirs-Garzon, 2017. "Uncovering the time-varying nature of causality between oil prices and stock market returns: A multi-country study," Borradores de Economia 1009, Banco de la Republica de Colombia.
    15. Sheng, Xin & Gupta, Rangan & Ji, Qiang, 2020. "The impacts of structural oil shocks on macroeconomic uncertainty: Evidence from a large panel of 45 countries," Energy Economics, Elsevier, vol. 91(C).
    16. Zhang, Zhikai & Wang, Yudong & Xiao, Jihong & Zhang, Yaojie, 2023. "Not all geopolitical shocks are alike: Identifying price dynamics in the crude oil market under tensions," Resources Policy, Elsevier, vol. 80(C).
    17. Martin Hodula & Jan Janku & Simona Malovana & Ngoc Anh Ngo, 2024. "Geopolitical Risks and Their Impact on Global Macro-Financial Stability: Literature and Measurements," Working Papers 2024/8, Czech National Bank.
    18. Razak, Razman & Masih, Mansur, 2017. "The links between crude palm oil, conventional and Islamic stock markets: evidence from Malaysia based on continuous and discrete wavelet analysis," MPRA Paper 79717, University Library of Munich, Germany.
    19. Escribano, Ana & Koczar, Monika W. & Jareño, Francisco & Esparcia, Carlos, 2023. "Shock transmission between crude oil prices and stock markets," Resources Policy, Elsevier, vol. 83(C).
    20. Wang, Yudong & Liu, Li & Diao, Xundi & Wu, Chongfeng, 2015. "Forecasting the real prices of crude oil under economic and statistical constraints," Energy Economics, Elsevier, vol. 51(C), pages 599-608.
    21. Julia Kielmann & Hans Manner & Aleksey Min, 2022. "Stock market returns and oil price shocks: A CoVaR analysis based on dynamic vine copula models," Empirical Economics, Springer, vol. 62(4), pages 1543-1574, April.
    22. Killins, Robert N. & Mollick, Andre V., 2020. "Performance of Canadian banks and oil price movements," Research in International Business and Finance, Elsevier, vol. 54(C).
    23. Indars, Edgars Rihards & Savin, Aliaksei & Lublóy, Ágnes, 2019. "Herding behaviour in an emerging market: Evidence from the Moscow Exchange," Corvinus Economics Working Papers (CEWP) 2019/01, Corvinus University of Budapest.
    24. Reinhold Heinlein & Scott M. R. Mahadeo, 2021. "Oil and US stock market shocks: implications for Canadian equities," Working Papers in Economics & Finance 2021-07, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    25. Krzysztof Drachal, 2018. "Determining Time-Varying Drivers of Spot Oil Price in a Dynamic Model Averaging Framework," Energies, MDPI, vol. 11(5), pages 1-24, May.
    26. Hamdi, Besma & Aloui, Mouna & Alqahtani, Faisal & Tiwari, Aviral, 2019. "Relationship between the oil price volatility and sectoral stock markets in oil-exporting economies: Evidence from wavelet nonlinear denoised based quantile and Granger-causality analysis," Energy Economics, Elsevier, vol. 80(C), pages 536-552.
    27. Wensheng Kang & Ronald A. Ratti, 2015. "Oil shocks, policy uncertainty and stock returns in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 23(4), pages 657-676, October.
    28. Zhang, Yue-Jun & Wang, Jin-Li, 2019. "Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models," Energy Economics, Elsevier, vol. 78(C), pages 192-201.
    29. Naeem, Muhammad Abubakr & Balli, Faruk & Shahzad, Syed Jawad Hussain & de Bruin, Anne, 2020. "Energy commodity uncertainties and the systematic risk of US industries," Energy Economics, Elsevier, vol. 85(C).
    30. Wang, Yudong & Wu, Chongfeng, 2013. "Are crude oil spot and futures prices cointegrated? Not always!," Economic Modelling, Elsevier, vol. 33(C), pages 641-650.
    31. Esmaeil Ebadi & Yousef Abdul Razaq, 2024. "Reinvestigating the Oil Dependency of the GCC Countries’ Stock Market: A Regime-Switching Cointegration Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 387-406, May.
    32. Degiannakis, Stavros & Filis, George & Arora, Vipin, 2018. "Oil Prices and Stock Markets: A Review of the Theory and Empirical Evidence," MPRA Paper 96270, University Library of Munich, Germany.
    33. Sheevun Di O. Guliman, 2015. "Oil Prices and Stock Market: A Philippine Perspective," Business and Economic Research, Macrothink Institute, vol. 5(2), pages 122-135, December.
    34. Chen, Yufeng & Msofe, Zulkifr Abdallah & Wang, Chuwen, 2024. "Asymmetric dynamic spillover and time-frequency connectedness in the oil-stock nexus under COVID-19 shock: Evidence from African oil importers and exporters," Resources Policy, Elsevier, vol. 90(C).
    35. Zhang, Hao & Cai, Guixin & Yang, Dongxiao, 2020. "The impact of oil price shocks on clean energy stocks: Fresh evidence from multi-scale perspective," Energy, Elsevier, vol. 196(C).
    36. Li, Xiafei & Liao, Yin & Lu, Xinjie & Ma, Feng, 2022. "An oil futures volatility forecast perspective on the selection of high-frequency jump tests," Energy Economics, Elsevier, vol. 116(C).
    37. Azhgaliyeva, Dina & Mishra, Ranjeeta & Kapsalyamova, Zhanna, 2021. "Oil Price Shocks and Green Bonds: A Longitudinal Multilevel Model," ADBI Working Papers 1278, Asian Development Bank Institute.
    38. Khairulla Massadikov, 2021. "Volatility Spillovers between Oil Prices and Stock Returns in Developing Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 121-126.
    39. Evangelos Kyritsis and Apostolos Serletis, 2019. "Oil Prices and the Renewable Energy Sector," The Energy Journal, International Association for Energy Economics, vol. 0(The New E).
    40. Laura Cueppers & Dieter Smeets, 2015. "How Do Oil Price Changes Affect German Stock Returns?," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 321-334.
    41. Ben Cheikh, Nidhaleddine & Ben Naceur, Sami & Kanaan, Oussama & Rault, Christophe, 2020. "Investigating the Asymmetric Impact of Oil Prices on GCC Stock Markets," IZA Discussion Papers 13853, Institute of Labor Economics (IZA).
    42. Zhang, Yaojie & Wahab, M.I.M. & Wang, Yudong, 2023. "Forecasting crude oil market volatility using variable selection and common factor," International Journal of Forecasting, Elsevier, vol. 39(1), pages 486-502.
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    45. Bilgili, Faik & Kassouri, Yacouba & Kuşkaya, Sevda & Majok Garang, Aweng Peter, 2024. "The dynamic nexus of oil price fluctuations and banking sector in China: A continuous wavelet analysis," Resources Policy, Elsevier, vol. 88(C).
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    48. Cem Berk, 2016. "Indexing Oil from a Financial Point of View: A Comparison between Brent and West Texas Intermediate," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 152-158.
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    50. Tong, Bin & Diao, Xundi & Wu, Chongfeng, 2015. "Modeling asymmetric and dynamic dependence of overnight and daytime returns: An empirical evidence from China Banking Sector," Economic Modelling, Elsevier, vol. 51(C), pages 366-382.
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    299. Pasrun Adam & Pasrun Adam & Rosnawintang Rosnawintang & Ambo Wonua Nusantara & Abd Aziz Muthalib, 2017. "A Model of the Dynamic of the Relationship between Exchange Rate and Indonesia's Export," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 255-261.
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    301. Md Fouad Bin Amin & Mohd Ziaur Rehman, 2022. "Asymmetric Linkages of Oil Prices, Money Supply, and TASI on Sectoral Stock Prices in Saudi Arabia: A Non-Linear ARDL Approach," SAGE Open, , vol. 12(1), pages 21582440211, January.
    302. Duan, Kun & Ren, Xiaohang & Wen, Fenghua & Chen, Jinyu, 2023. "Evolution of the information transmission between Chinese and international oil markets: A quantile-based framework," Journal of Commodity Markets, Elsevier, vol. 29(C).
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    305. Seuk Wai Phoong & Masnun Al Mahi & Seuk Yen Phoong, 2023. "A Markov Switching Approach in Assessing Oil Price and Stock Market Nexus in the Last Decade: The Impact of the COVID-19 Pandemic," SAGE Open, , vol. 13(1), pages 21582440231, February.
    306. Aktolkin Abubakirova & Aziza Syzdykova & Assan Dosmakhanbet & Lyazzat Kudabayeva & Gulnar Abdulina, 2021. "Relationship between Oil Prices and Stock Prices in BRICS-T Countries: Symmetric and Asymmetric Causality Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 140-148.
    307. Semei Coronado & Rebeca Jimnez-Rodrguez & Omar Rojas, 2018. "An Empirical Analysis of the Relationships between Crude Oil,Gold and Stock Markets," The Energy Journal, , vol. 39(1_suppl), pages 193-208, June.
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    309. R. Eki Rahman & Ermawati, 2020. "An Analysis Of Herding Behavior In The Stock Market: A Case Study Of The Asean-5 And The United States," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 23(3), pages 297-318, October.
    310. Goodell, John W. & Huynh, Toan Luu Duc, 2020. "Did Congress trade ahead? Considering the reaction of US industries to COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    311. Kai Chen & Yilin Chen, 2024. "RETRACTED ARTICLE: Biomass energy and rural development: economic benefits and sustainability pathways," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-34, June.
    312. Lee, Chien-Chiang & Wang, Chih-Wei & Thinh, Bui Tien & Purnama, Muhammad Yusuf Indra, 2023. "Cash holdings and cash flows: Do oil price uncertainty and geopolitical risk matter?," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 134-152.
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    314. Ruqayya Aljifri, 2020. "The Macroeconomy, Oil and the Stock Market: A Multiple Equation Time Series Analysis of Saudi Arabia," Economics Discussion Papers em-dp2020-27, Department of Economics, University of Reading.
    315. Caporale, Guglielmo Maria & Çatık, Abdurrahman Nazif & Huyuguzel Kısla, Gul Serife & Helmi, Mohamad Husam & Akdeniz, Coşkun, 2022. "Oil prices and sectoral stock returns in the BRICS-T countries: A time-varying approach," Resources Policy, Elsevier, vol. 79(C).
    316. Yu, Lean & Zha, Rui & Stafylas, Dimitrios & He, Kaijian & Liu, Jia, 2020. "Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models," International Review of Financial Analysis, Elsevier, vol. 68(C).
    317. Elsayed, Ahmed H. & Naifar, Nader & Uddin, Gazi Salah & Wang, Gang-Jin, 2023. "Multilayer information spillover networks between oil shocks and banking sectors: Evidence from oil-rich countries," International Review of Financial Analysis, Elsevier, vol. 87(C).
    318. Nazif Çatık, Abdurrahman & Huyugüzel Kışla, Gül & Akdeni̇z, Coşkun, 2020. "Time-varying impact of oil prices on sectoral stock returns: Evidence from Turkey," Resources Policy, Elsevier, vol. 69(C).
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    322. Qiu Lianshi, 2024. "The Relationship Between Stock Performance and Money Supply Based on VAR Model in the Context of E-commerce," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 18(1), pages 1-12.
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    324. Choi, Insu & Lee, Myounggu & Kim, Hyejin & Kim, Woo Chang, 2023. "Elucidating Directed Statistical Dependencies: Investigating Global Financial Market Indices' Influence on Korean Short Selling Activities," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    325. Husaini Said & Evangelos Giouvris, 2019. "Oil, the Baltic Dry index, market (il)liquidity and business cycles: evidence from net oil-exporting/oil-importing countries," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(4), pages 349-416, December.
    326. Wang, Yudong & Wei, Yu & Wu, Chongfeng & Yin, Libo, 2018. "Oil and the short-term predictability of stock return volatility," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 90-104.
    327. Afees A. Salisu & Rangan Gupta & Christian Pierdzioch, 2021. "Predictability of Tail Risks of Canada and the U.S. Over a Century: The Role of Spillovers and Oil Tail Risks," Working Papers 202127, University of Pretoria, Department of Economics.

  7. Chunyang Zhou & Chongfeng Wu & Li Yang, 2011. "The Informational Role of Stock and Warrant Trades: Empirical Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 78-93, January.

    Cited by:

    1. Chung, Huimin & Gao, Cheng & Lu, Jie & Mizrach, Bruce, 2013. "An empirical analysis of the Shanghai and Shenzhen limit order books," Economic Modelling, Elsevier, vol. 34(C), pages 37-41.
    2. Yue, Tian & Zhang, Jin E. & Tan, Eric K.M., 2020. "The Chinese equity index options market," Emerging Markets Review, Elsevier, vol. 45(C).
    3. Jayasuriya, Shamila A., 2011. "Stock market correlations between China and its emerging market neighbors," Emerging Markets Review, Elsevier, vol. 12(4), pages 418-431.

  8. Yang, L. & Ng, C.T. & Cheng, T.C.E., 2011. "Optimal production strategy under demand fluctuations: Technology versus capacity," European Journal of Operational Research, Elsevier, vol. 214(2), pages 393-402, October.

    Cited by:

    1. Yang, Liu & Wang, Yonggui & Ma, Jun & Ng, Chi To & Cheng, T.C.E., 2014. "Technology investment under flexible capacity strategy with demand uncertainty," International Journal of Production Economics, Elsevier, vol. 154(C), pages 190-197.
    2. Yang, Liu & Ng, C.T., 2014. "Flexible capacity strategy with multiple market periods under demand uncertainty and investment constraint," European Journal of Operational Research, Elsevier, vol. 236(2), pages 511-521.
    3. Liu Yang & Chi To Ng & Yaodong Ni, 2017. "Flexible capacity strategy in an asymmetric oligopoly market with competition and demand uncertainty," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(2), pages 117-138, March.
    4. Boonman, H.J., 2014. "Strategic real options : Capacity optimization and demand structures," Other publications TiSEM 2c1d43fb-e8d5-4f50-9bbf-f, Tilburg University, School of Economics and Management.
    5. Yang, Liu & Ng, Chi To & Cheng, T.C.E. & Sun, Mingyao & Shao, Xuefeng & Li, Ruiqing, 2024. "Competition under demand uncertainty: The roles of technology and capacity strategy," European Journal of Operational Research, Elsevier, vol. 317(1), pages 185-204.
    6. Wei, Liqun & Zhang, Jianxiong, 2021. "Strategic substitutes or complements? The relationship between capacity sharing and postponement flexibility," European Journal of Operational Research, Elsevier, vol. 294(1), pages 138-148.
    7. Dawei (David) Zhang & Barrie R. Nault & Xueqi (David) Wei, 2019. "The Strategic Value of Information Technology in Setting Productive Capacity," Information Systems Research, INFORMS, vol. 30(4), pages 1124-1144, December.
    8. Hongjun Peng & Tao Pang & Fuliang Cao & Juan Zhao, 2018. "A Mutual Subsidy Mechanism for a Seasonal Product Supply Chain Channel Under Double Price Regulation," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(06), pages 1-26, December.
    9. Boonman, H.J. & Hagspiel, V. & Kort, P.M., 2015. "Dedicated vs product flexible production technology: Strategic capacity investment choice," European Journal of Operational Research, Elsevier, vol. 244(1), pages 141-152.

  9. Donald Lien & Li Yang, 2010. "The effects of structural breaks and long memory on currency hedging," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(7), pages 607-632, July.

    Cited by:

    1. Lien, Donald & Yang, Li & Zhou, Chunyang & Lee, Geul, 2014. "Co-movement between RMB and New Taiwan Dollars: Evidences from NDF markets," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 265-272.
    2. Wang, Yudong & Wu, Chongfeng, 2012. "Long memory in energy futures markets: Further evidence," Resources Policy, Elsevier, vol. 37(3), pages 261-272.
    3. Caporin, Massimiliano & Malik, Farooq, 2020. "Do structural breaks in volatility cause spurious volatility transmission?," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 60-82.
    4. Farooq Malik, 2022. "Volatility spillover among sector equity returns under structural breaks," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1063-1080, April.
    5. Chi Keung Marco Lau & Mehmet Huseyin Bilgin, 2013. "Hedging with Chinese Aluminum Futures: International Evidence with Return and Volatility Spillover Indices Under Structural Breaks," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S1), pages 37-48, January.
    6. Chang, Kuang-Liang, 2012. "Volatility regimes, asymmetric basis effects and forecasting performance: An empirical investigation of the WTI crude oil futures market," Energy Economics, Elsevier, vol. 34(1), pages 294-306.
    7. Kotkatvuori-Örnberg, Juha, 2016. "Dynamic conditional copula correlation and optimal hedge ratios with currency futures," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 60-69.

  10. Donald Lien & Li Yang, 2009. "Intraday return and volatility spill‐over across international copper futures markets," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 5(1), pages 135-149, February.

    Cited by:

    1. Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
    2. Donghua Wang & Yang Xin & Xiaohui Chang & Xingze Su, 2021. "Realized volatility forecasting and volatility spillovers: Evidence from Chinese non‐ferrous metals futures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2713-2731, April.
    3. Todorova, Neda & Worthington, Andrew & Souček, Michael, 2014. "Realized volatility spillovers in the non-ferrous metal futures market," Resources Policy, Elsevier, vol. 39(C), pages 21-31.
    4. Chen, Yuxuan & Chiu, Junmao & Chung, Huimin, 2022. "Givers or Receivers? Return and volatility spillovers between Fintech and the Traditional Financial Industry," Finance Research Letters, Elsevier, vol. 46(PB).
    5. Klein, Tony & Todorova, Neda, 2021. "Night trading with futures in China: The case of Aluminum and Copper," Resources Policy, Elsevier, vol. 73(C).
    6. Al-Yahyaee, Khamis Hamed & Rehman, Mobeen Ur & Wanas Al-Jarrah, Idries Mohammad & Mensi, Walid & Vo, Xuan Vinh, 2020. "Co-movements and spillovers between prices of precious metals and non-ferrous metals: A multiscale analysis," Resources Policy, Elsevier, vol. 67(C).
    7. Libo Yin & Liyan Han, 2013. "Exogenous Shocks and Information Transmission in Global Copper Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(8), pages 724-751, August.
    8. Sinha, Pankaj & Mathur, Kritika, 2013. "Price, Return and Volatility Linkages of Base Metal Futures traded in India," MPRA Paper 47864, University Library of Munich, Germany.
    9. Todorova, Neda, 2015. "The course of realized volatility in the LME non-ferrous metal market," Economic Modelling, Elsevier, vol. 51(C), pages 1-12.

  11. Lien, Donald & Yang, Li, 2008. "Hedging with Chinese metal futures," Global Finance Journal, Elsevier, vol. 19(2), pages 123-138.

    Cited by:

    1. Sang‐Kuck Chung, 2009. "Out‐of‐sample Hedge Performances for Risk Management in China Commodity Futures Markets," Asian Economic Journal, East Asian Economic Association, vol. 23(3), pages 349-372, September.
    2. Ahmed Ghorbel & Abdelwahed Trabelsi, 2012. "Optimal dynamic hedging strategy with futures oil markets via FIEGARCH-EVT copula models," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 4(1), pages 1-28.
    3. Claudio-Quiroga, Gloria & Gil-Alana, Luis A. & Maiza-Larrarte, Andoni, 2023. "Mineral prices persistence and the development of a new energy vehicle industry in China: A fractional integration approach," Resources Policy, Elsevier, vol. 82(C).
    4. Liu, Xiaochun & Jacobsen, Brian, 2011. "The Dynamic International Optimal Hedge Ratio," MPRA Paper 35260, University Library of Munich, Germany.
    5. Fu, Junhui & Zhang, Wei-Guo & Yao, Zheng & Zhang, Xili, 2012. "Hedging the portfolio of raw materials and the commodity under the mark-to-market risk," Economic Modelling, Elsevier, vol. 29(4), pages 1070-1075.
    6. Yves Jégourel, 2018. "The Financialization of Commodity Markets: A Short-lived Phenomenon?," Books & Reports, Policy Center for the New South, number 24, March.
    7. Ciner, Cetin & Lucey, Brian & Yarovaya, Larisa, 2020. "Spillovers, integration and causality in LME non-ferrous metal markets," Journal of Commodity Markets, Elsevier, vol. 17(C).
    8. Liu, Qingfu & Wong, Ieokhou & An, Yunbi & Zhang, Jinqing, 2014. "Asymmetric Information and Volatility Forecasting in Commodity Futures Markets," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 79-97.

  12. Lien, Donald & Yang, Li, 2008. "Asymmetric effect of basis on dynamic futures hedging: Empirical evidence from commodity markets," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 187-198, February.

    Cited by:

    1. Yao, Wei & Alexiou, Constantinos, 2022. "Exploring the transmission mechanism of speculative and inventory arbitrage activity to commodity price volatility. Novel evidence for the US economy," International Review of Financial Analysis, Elsevier, vol. 80(C).
    2. Tariq Aziz & Ranjeeta Sadhwani & Ume Habibah & Mazin A. M. Al Janabi, 2020. "Volatility Spillover Among Equity and Commodity Markets," SAGE Open, , vol. 10(2), pages 21582440209, May.
    3. Chang, Kuang-Liang, 2012. "The time-varying and asymmetric dependence between crude oil spot and futures markets: Evidence from the Mixture copula-based ARJI–GARCH model," Economic Modelling, Elsevier, vol. 29(6), pages 2298-2309.
    4. CARPANTIER, Jean - François, 2010. "Commodities inventory effect," LIDAM Discussion Papers CORE 2010040, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Ngene, Geoffrey M. & Wang, Jinghua, 2024. "Arbitrage opportunities and feedback trading in regulated bitcoin futures market: An intraday analysis," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 743-761.
    6. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2022. "Spillovers and diversification benefits between oil futures and ASEAN stock markets," Resources Policy, Elsevier, vol. 79(C).
    7. Katelijne A.E. Carbonez & Van Thi Tuong Nguyen & Piet Sercu, 2011. "Hedging with Two Futures Contracts: Simplicity Pays," European Financial Management, European Financial Management Association, vol. 17(5), pages 806-834, November.
    8. Jitmaneeroj, Boonlert, 2018. "The effect of the rebalancing horizon on the tradeoff between hedging effectiveness and transaction costs," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 282-298.
    9. Alexander, Carol & Deng, Jun & Zou, Bin, 2023. "Hedging with automatic liquidation and leverage selection on bitcoin futures," European Journal of Operational Research, Elsevier, vol. 306(1), pages 478-493.
    10. Dark, Jonathan, 2015. "Futures hedging with Markov switching vector error correction FIEGARCH and FIAPARCH," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 269-285.
    11. Jim Hanly, 2017. "Managing Energy Price Risk using Futures Contracts: A Comparative Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    12. Philip, Dennis & Shi, Yukun, 2016. "Optimal hedging in carbon emission markets using Markov regime switching models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 1-15.
    13. Carol Alexander & Marcel Prokopczuk & Anannit Sumawon, 2012. "The (De)merits of Minimum-Variance Hedging: Application to the Crack Spread," ICMA Centre Discussion Papers in Finance icma-dp2012-01, Henley Business School, University of Reading.
    14. Thomas Conlon & John Cotter & Ramazan Gençay, 2016. "Commodity futures hedging, risk aversion and the hedging horizon," The European Journal of Finance, Taylor & Francis Journals, vol. 22(15), pages 1534-1560, December.
    15. Symeonidis, Lazaros & Prokopczuk, Marcel & Brooks, Chris & Lazar, Emese, 2012. "Futures basis, inventory and commodity price volatility: An empirical analysis," Economic Modelling, Elsevier, vol. 29(6), pages 2651-2663.
    16. Lien, Donald & Yang, Li, 2008. "Hedging with Chinese metal futures," Global Finance Journal, Elsevier, vol. 19(2), pages 123-138.
    17. Hollstein, Fabian & Prokopczuk, Marcel & Tharann, Björn & Wese Simen, Chardin, 2021. "Predictability in commodity markets: Evidence from more than a century," Journal of Commodity Markets, Elsevier, vol. 24(C).
    18. CARPANTIER, Jean-François & SAMKHARADZE, Besik, 2012. "The asymmetric commodity inventory effect on the optimal hedge ratio," LIDAM Discussion Papers CORE 2012020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    19. Su, EnDer, 2013. "Stock index hedge using trend and volatility regime switch model considering hedging cost," MPRA Paper 49190, University Library of Munich, Germany.
    20. Roy, Rudra Prosad & Sinha Roy, Saikat, 2017. "Financial contagion and volatility spillover: An exploration into Indian commodity derivative market," Economic Modelling, Elsevier, vol. 67(C), pages 368-380.
    21. Mensi, Walid & Vo, Xuan Vinh & Kang, Sang Hoon, 2023. "Quantile spillovers and connectedness analysis between oil and African stock markets," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 60-83.
    22. Liu, Tie-Ying & Lee, Chien-Chiang, 2018. "Will the energy price bubble burst?," Energy, Elsevier, vol. 150(C), pages 276-288.
    23. Debasish Maitra & Varun Dawar, 2019. "Return and Volatility Spillover among Commodity Futures, Stock Market and Exchange Rate: Evidence from India," Global Business Review, International Management Institute, vol. 20(1), pages 214-237, February.
    24. Su, EnDer, 2017. "Stock index hedging using a trend and volatility regime-switching model involving hedging cost," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 233-254.
    25. Kristyna Ters & Jörg Urban, 2018. "Estimating unknown arbitrage costs: evidence from a three-regime threshold vector error correction model," BIS Working Papers 689, Bank for International Settlements.
    26. Ben-Abdallah, Ramzi & Ben-Ameur, Hatem & Breton, Michèle, 2009. "An analysis of the true notional bond system applied to the CBOT T-bond futures," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 534-545, March.
    27. Gülin Vardar & Yener Coşkun & Tezer Yelkenci, 2018. "Shock transmission and volatility spillover in stock and commodity markets: evidence from advanced and emerging markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 231-288, August.
    28. Liu, Peng (Peter) & Tang, Ke, 2010. "No-arbitrage conditions for storable commodities and the modeling of futures term structures," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1675-1687, July.
    29. Jean-François Carpantier & Arnaud Dufays, 2012. "Commodities volatility and the theory of storage," Working Papers hal-01821149, HAL.
    30. Vishwas B. & N. Sivakumar, 2016. "Mutual Fund Portfolio Hedging Using Index Futures: An Empirical Analysis," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 5(3), pages 203-210, August.
    31. Chi Keung Marco Lau & Mehmet Huseyin Bilgin, 2013. "Hedging with Chinese Aluminum Futures: International Evidence with Return and Volatility Spillover Indices Under Structural Breaks," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S1), pages 37-48, January.
    32. Liu, Xiaochun & Jacobsen, Brian, 2011. "The Dynamic International Optimal Hedge Ratio," MPRA Paper 35260, University Library of Munich, Germany.
    33. Kim, Myeong Jun & Park, Sung Y., 2016. "Optimal conditional hedge ratio: A simple shrinkage estimation approach," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 139-156.
    34. Eymen Errais & Dhikra Bahri, 2016. "Is Standard Deviation a Good Measure of Volatility? the Case of African Markets with Price Limits," Annals of Economics and Finance, Society for AEF, vol. 17(1), pages 145-165, May.
    35. Jia, Jian & Kang, Sang Baum, 2022. "Do the basis and other predictors of futures return also predict spot return with the same signs and magnitudes? Evidence from the LME," Journal of Commodity Markets, Elsevier, vol. 25(C).
    36. Hung, Jui-Cheng & Yi-Hsien Wang, & Chang, Matthew C. & Shih, Kuang-Hsun & Hsiu-Hsueh Kao,, 2011. "Minimum variance hedging with bivariate regime-switching model for WTI crude oil," Energy, Elsevier, vol. 36(5), pages 3050-3057.
    37. Mensi, Walid & Beljid, Makram & Boubaker, Adel & Managi, Shunsuke, 2013. "Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold," MPRA Paper 44395, University Library of Munich, Germany.
    38. Čech, František & Zítek, Michal, 2022. "Marine fuel hedging under the sulfur cap regulations," Energy Economics, Elsevier, vol. 113(C).
    39. Terrance Grieb, 2015. "Mean and volatility transmission for commodity futures," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(1), pages 100-118, January.
    40. You‐How Go & Jia‐Jun Teo & Kam Fong Chan, 2023. "The effectiveness of crude oil futures hedging during infectious disease outbreaks in the 21st century," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1559-1575, November.
    41. Cheong, Chin Wen, 2009. "Modeling and forecasting crude oil markets using ARCH-type models," Energy Policy, Elsevier, vol. 37(6), pages 2346-2355, June.
    42. Yu‐Sheng Lai, 2022. "Use of high‐frequency data to evaluate the performance of dynamic hedging strategies," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(1), pages 104-124, January.
    43. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2022. "Economic importance of correlations for energy and other commodities," Energy Economics, Elsevier, vol. 107(C).
    44. Hung, Jui-Cheng, 2015. "Evaluation of realized multi-power variations in minimum variance hedging," Economic Modelling, Elsevier, vol. 51(C), pages 672-679.
    45. Jim Hanly, 2017. "Managing Energy Price Risk using Futures Contracts: A Comparative Analysis," The Energy Journal, , vol. 38(3), pages 93-112, May.
    46. Paschke, Raphael & Prokopczuk, Marcel, 2010. "Commodity derivatives valuation with autoregressive and moving average components in the price dynamics," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2742-2752, November.
    47. Chang, Kuang-Liang, 2012. "Volatility regimes, asymmetric basis effects and forecasting performance: An empirical investigation of the WTI crude oil futures market," Energy Economics, Elsevier, vol. 34(1), pages 294-306.
    48. Donald Lien & Hsiang‐Tai Lee & Her‐Jiun Sheu, 2018. "Hedging systematic risk in the commodity market with a regime‐switching multivariate rotated generalized autoregressive conditional heteroskedasticity model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(12), pages 1514-1532, December.
    49. Chau, Frankie & Kuo, Jing-Ming & Shi, Yukun, 2015. "Arbitrage opportunities and feedback trading in emissions and energy markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 130-147.
    50. Rakesh Shahani & Utkarsh Singhal, 2023. "Do efficient commodity markets co-move: evidence from Indian base metals market," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(3), pages 413-425, September.
    51. Yang, Jian & Zhou, Yinggang & Wang, Zijun, 2009. "The stock-bond correlation and macroeconomic conditions: One and a half centuries of evidence," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 670-680, April.
    52. Lee, Hsiang-Tai, 2010. "Regime switching correlation hedging," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2728-2741, November.

  13. Donald Lien & Li Yang, 2006. "Spot‐futures spread, time‐varying correlation, and hedging with currency futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(10), pages 1019-1038, October.

    Cited by:

    1. Lien, Donald & Yang, Li & Zhou, Chunyang & Lee, Geul, 2014. "Co-movement between RMB and New Taiwan Dollars: Evidences from NDF markets," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 265-272.
    2. Philipp Adämmer & Martin T. Bohl & Ernst-Oliver Ledebur, 2017. "Dynamics Between North American And European Agricultural Futures Prices During Turmoil And Financialization," Bulletin of Economic Research, Wiley Blackwell, vol. 69(1), pages 57-76, January.
    3. Li, Gang & Li, Yong, 2015. "Forecasting copper futures volatility under model uncertainty," Resources Policy, Elsevier, vol. 46(P2), pages 167-176.
    4. Sharma, Udayan & Karmakar, Madhusudan, 2023. "Measuring minimum variance hedging effectiveness: Traditional vs. sophisticated models," International Review of Financial Analysis, Elsevier, vol. 87(C).
    5. Ai-ru (Meg) Cheng & Yin-Wong Cheung, 2008. "Return, Trading Volume, and Market Depth in Currency Futures Markets," Working Papers 202008, Hong Kong Institute for Monetary Research.
    6. Dark, Jonathan, 2015. "Futures hedging with Markov switching vector error correction FIEGARCH and FIAPARCH," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 269-285.
    7. Ubukata, Masato & Watanabe, Toshiaki, 2015. "Evaluating the performance of futures hedging using multivariate realized volatility," Journal of the Japanese and International Economies, Elsevier, vol. 38(C), pages 148-171.
    8. Abdul Hakim & Michael McAleer, 2009. "VaR Forecasts and Dynamic Conditional Correlations for Spot and Futures Returns on Stocks and Bonds," CARF F-Series CARF-F-178, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    9. CARPANTIER, Jean-François & SAMKHARADZE, Besik, 2012. "The asymmetric commodity inventory effect on the optimal hedge ratio," LIDAM Discussion Papers CORE 2012020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    10. Ubukata, Masato, 2018. "Dynamic hedging performance and downside risk: Evidence from Nikkei index futures," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 270-281.
    11. Kuruppuarachchi, Duminda & Premachandra, I.M., 2016. "Information spillover dynamics of the energy futures market sector: A novel common factor approach," Energy Economics, Elsevier, vol. 57(C), pages 277-294.
    12. Donald Lien & Chongfeng Wu & Li Yang & Chunyang Zhou, 2013. "Dynamic and Asymmetric Dependences Between Chinese Yuan and Other Asia‐Pacific Currencies," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(8), pages 696-723, August.
    13. Aboura, Sofiane & Chevallier, Julien, 2017. "A new weighting-scheme for equity indexes," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 159-175.
    14. Chi Keung Marco Lau & Mehmet Huseyin Bilgin, 2013. "Hedging with Chinese Aluminum Futures: International Evidence with Return and Volatility Spillover Indices Under Structural Breaks," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S1), pages 37-48, January.
    15. Yudong Wang & Chongfeng Wu & Li Yang, 2015. "Hedging with Futures: Does Anything Beat the Naïve Hedging Strategy?," Management Science, INFORMS, vol. 61(12), pages 2870-2889, December.
    16. Kao, Wei-Shun & Lin, Chu-Hsiung & Changchien, Chang-Cheng & Wu, Chien-Hui, 2017. "Return distribution, leverage effect and spot-futures spread on the hedging effectiveness," Finance Research Letters, Elsevier, vol. 22(C), pages 158-162.
    17. Liu, Xiaochun & Jacobsen, Brian, 2011. "The Dynamic International Optimal Hedge Ratio," MPRA Paper 35260, University Library of Munich, Germany.
    18. Kim, Myeong Jun & Park, Sung Y., 2016. "Optimal conditional hedge ratio: A simple shrinkage estimation approach," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 139-156.
    19. Chang, Kuang-Liang, 2012. "Volatility regimes, asymmetric basis effects and forecasting performance: An empirical investigation of the WTI crude oil futures market," Energy Economics, Elsevier, vol. 34(1), pages 294-306.
    20. Kotkatvuori-Örnberg, Juha, 2016. "Dynamic conditional copula correlation and optimal hedge ratios with currency futures," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 60-69.
    21. Liu, Qingfu & Wong, Ieokhou & An, Yunbi & Zhang, Jinqing, 2014. "Asymmetric Information and Volatility Forecasting in Commodity Futures Markets," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 79-97.

  14. Lien, Donald & Yang, Li, 2005. "Availability and settlement of individual stock futures and options expiration-day effects: evidence from high-frequency data," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 730-747, September.

    Cited by:

    1. Milena Suliga, 2017. "Price reversal as potential expiration day effect of stock and index futures: evidence from Warsaw Stock Exchange," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 18(2), pages 201-225.
    2. Sobhesh Kumar Agarwalla & Ajay Pandey, 2013. "Expiration‐Day Effects and the Impact of Short Trading Breaks on Intraday Volatility: Evidence from the Indian Market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(11), pages 1046-1070, November.
    3. Deqin Lin & Wenyang Deng & Siting Dai, 2022. "A Margin Design Method Based on the SPAN in Electricity Futures Market Considering the Risk of Power Factor," Energies, MDPI, vol. 15(14), pages 1-14, July.
    4. Rif, Alexandru & Utz, Sebastian, 2021. "Short-term stock price reversals after extreme downward price movements," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 123-133.
    5. Henryk Gurgul & Milena Suliga, 2020. "Impact of futures expiration on underlying stocks: intraday analysis for Warsaw Stock Exchange," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(3), pages 869-904, September.
    6. Blasco, N. & Corredor, P. & Satrústegui, N., 2023. "Is there an expiration effect in the bitcoin market?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 647-663.
    7. Banerjee, Pradip & Chatrath, Arjun & Christie-David, Rohan & Maitra, Debasish, 2018. "The effects of options listing and delisting in a short-sale-constrained market: Evidence from the Indian equities markets," Global Finance Journal, Elsevier, vol. 35(C), pages 157-169.

  15. Lien, Donald & Yang, Li, 2004. "Alternative settlement methods and Australian individual share futures contracts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(5), pages 473-490, December.

    Cited by:

    1. Stavros Degiannakis & Christos Floros & Enrique Salvador & Dimitrios Vougas, 2022. "On the stationarity of futures hedge ratios," Operational Research, Springer, vol. 22(3), pages 2281-2303, July.
    2. Lien, Donald & Tse, Yiu Kuen, 2006. "A survey on physical delivery versus cash settlement in futures contracts," International Review of Economics & Finance, Elsevier, vol. 15(1), pages 15-29.

  16. Lien, Donald & Yang, Li, 2003. "Contract settlement specification and price discovery: Empirical evidence in Australia individual share futures market," International Review of Economics & Finance, Elsevier, vol. 12(4), pages 495-512.

    Cited by:

    1. Alemany, Nuria & Aragó, Vicent & Salvador, Enrique, 2020. "Lead-lag relationship between spot and futures stock indexes: Intraday data and regime-switching models," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 269-280.
    2. Lien, Donald & Tse, Yiu Kuen, 2006. "A survey on physical delivery versus cash settlement in futures contracts," International Review of Economics & Finance, Elsevier, vol. 15(1), pages 15-29.

  17. Donald Lien & Li Yang, 2003. "Options expiration effects and the role of individual share futures contracts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(11), pages 1107-1118, November.

    Cited by:

    1. Lien, Donald & Yang, Li, 2005. "Availability and settlement of individual stock futures and options expiration-day effects: evidence from high-frequency data," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 730-747, September.
    2. Bartley R. Danielsen & Robert A. Van Ness & Richard S. Warr, 2009. "Single Stock Futures as a Substitute for Short Sales: Evidence from Microstructure Data," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(9‐10), pages 1273-1293, November.
    3. Frankie Chau & Phil Holmes & Krishna Paudyal, 2008. "The Impact of Universal Stock Futures on Feedback Trading and Volatility Dynamics," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(1‐2), pages 227-249, January.
    4. Rachna Mahalwala, 2016. "A Study of Expiration-day Effects of Index Derivatives Trading in India," Metamorphosis: A Journal of Management Research, , vol. 15(1), pages 10-19, June.
    5. Blasco, N. & Corredor, P. & Satrústegui, N., 2023. "Is there an expiration effect in the bitcoin market?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 647-663.
    6. Wang, Ming-Chang & Ding, Yu-Jia & Chiang, Hsin-Chieh, 2018. "Do enterprise–bank relationships improve market quality? Evidence from Taiwan," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 79-91.
    7. Nikolaos Sariannidis & Evangelos Drimbetas, 2008. "Impact of international volatility and the introduction of Individual Stock Futures on the volatility of a small market," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 119-119.

  18. Garcia, Philip & Irwin, Scott H. & Leuthold, Raymond M. & Yang, Li, 1997. "The value of public information in commodity futures markets," Journal of Economic Behavior & Organization, Elsevier, vol. 32(4), pages 559-570, April.

    Cited by:

    1. Isengildina-Massa, Olga & Irwin, Scott H. & Good, Darrel L. & Gomez, Jennifer K., 2008. "The Impact of Situation and Outlook Information in Corn and Soybean Futures Markets: Evidence from WASDE Reports," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(1), pages 1-15, April.
    2. Prilly Oktoviany & Robert Knobloch & Ralf Korn, 2021. "A machine learning-based price state prediction model for agricultural commodities using external factors," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1063-1085, December.
    3. Guo, Jian-Feng & Ji, Qiang, 2013. "How does market concern derived from the Internet affect oil prices?," Applied Energy, Elsevier, vol. 112(C), pages 1536-1543.
    4. Cao, An N.Q. & Heckelei, Thomas & Ionici, Octavian & Robe, Michel A., 2024. "USDA reports affect the stock market, too," Journal of Commodity Markets, Elsevier, vol. 34(C).
    5. Adjemian, Michael K. & Johansson, Robert & McKenzie, Andrew & Thomsen, Michael, 2016. "The Value of Government Information in an Era of Declining Budgets," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235811, Agricultural and Applied Economics Association.
    6. Karali, Berna & Isengildina-Massa, Olga & Irwin, Scott H. & Adjemian, Michael K., 2016. "Changes in Informational Value and the Market Reaction to USDA Reports in the Big Data Era," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235580, Agricultural and Applied Economics Association.
    7. Good, Darrel L. & Irwin, Scott H., 2006. "Understanding USDA Corn and Soybean Production Forecasts: Methods, Performance and Market Impacts over 1970 - 2005," AgMAS Project Research Reports 37514, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    8. Isengildina-Massa, Olga & Cao, Xiang & Karali, Berna & Irwin, Scott H. & Adjemian, Michael & Johansson, Robert C., 2021. "When does USDA information have the most impact on crop and livestock markets?," Journal of Commodity Markets, Elsevier, vol. 22(C).
    9. Good, Darrel L. & Irwin, Scott H., 2003. "Understanding USDA Corn and Soybean Production Forecasts: An Overview of Methods, Performance and Market Impacts," AgMAS Project Research Reports 37496, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    10. Olga Isengildina-Massa & Berna Karali & Scott H Irwin, 2017. "Do Markets Correct for Smoothing in USDA Crop Production Forecasts? Evidence from Private Analysts and Futures Prices," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(4), pages 559-583.
    11. Sanders, Dwight R. & Manfredo, Mark R., 2002. "Usda Production Forecasts For Pork, Beef, And Broilers: An Evaluation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(1), pages 1-14, July.
    12. Lehecka, Georg V., 2013. "The Reaction of Corn and Soybean Futures Markets to USDA Crop Progress and Condition Information," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142491, Southern Agricultural Economics Association.
    13. Sonia Marongiu & Barbara Bimbati & Mauro Santamgelo, 2021. "Use and users of FADN data in Italy," Economia agro-alimentare, FrancoAngeli Editore, vol. 23(3), pages 1-21.
    14. McKenzie, Andrew M. & Thomsen, Michael R., 2001. "The Effect Of E. Coli O157:H7 On Beef Prices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(2), pages 1-14, December.
    15. Kaus, Taylor T. & Mattos, Fabio L., 2017. "Too much information? How relevant are agricultural reports that provide similar information?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258367, Agricultural and Applied Economics Association.
    16. Xiao, Jinzhi, 2015. "Essays on the forecasts of ending stocks," ISU General Staff Papers 201501010800005902, Iowa State University, Department of Economics.
    17. Pruitt, J. Ross & Tonsor, Glynn T. & Brooks, Kathleen R. & Johnson, Rachel J., 2013. "End User Preferences for USDA Market Information," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143007, Southern Agricultural Economics Association.
    18. Pierrick Piette, 2019. "Can Satellite Data Forecast Valuable Information from USDA Reports ? Evidences on Corn Yield Estimates," Working Papers hal-02149355, HAL.
    19. Michael K Adjemian & Robert Johansson & Andrew McKenzie & Michael Thomsen, 2018. "Was the Missing 2013 WASDE Missed?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 40(4), pages 653-671, December.
    20. Egelkraut, Thorsten M. & Garcia, Philip & Irwin, Scott H. & Good, Darrel L., 2002. "An Evaluation Of Crop Forecast Accuracy For Corn And Soybeans: Usda And Private Information Services," 2002 Conference, April 22-23, 2002, St. Louis, Missouri 19068, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    21. Sanders, Dwight R. & Manfredo, Mark R. & Boris, Keith, 2009. "Evaluating information in multiple horizon forecasts: The DOE's energy price forecasts," Energy Economics, Elsevier, vol. 31(2), pages 189-196.
    22. Adrian Fernandez‐Perez & Bart Frijns & Ivan Indriawan & Alireza Tourani‐Rad, 2019. "Surprise and dispersion: informational impact of USDA announcements," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 113-126, January.
    23. Aulerich, Nicole M. & Irwin, Scott H. & Nelson, Carl H., 2007. "The Impact of Measurement Error on Estimates of the Price Reaction to USDA Crop Reports," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37579, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    24. Joseph, Kishore & Garcia, Philip, 2016. "Intraday Market Effects in Electronic Soybean Futures Market during Non-Trading and Trading Hour Announcements," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235772, Agricultural and Applied Economics Association.
    25. Xiao, Jinzhi & Lence, Sergio H. & Hart, Chad, 2014. "Usda And Private Analysts' Forecasts Of Ending Stocks: How Good Are They?," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170642, Agricultural and Applied Economics Association.
    26. Ying, Jiahui & Shonkwiler, J. Scott, 2017. "A Temporal Impact Assessment Method for the Informational Content of USDA Reports in Corn and Soybean Futures Markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258201, Agricultural and Applied Economics Association.
    27. R. Xie & O. Isengildina-Massa & G. P. Dwyer & J. L. Sharp, 2016. "The impact of public and semi-public information on cotton futures market," Applied Economics, Taylor & Francis Journals, vol. 48(36), pages 3416-3431, August.
    28. Isengildina, Olga & Irwin, Scott H. & Good, Darrel L., 2004. "Does The Market Anticipate Smoothing In Usda Crop Production Forecasts?," 2004 Annual meeting, August 1-4, Denver, CO 20145, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    29. Joshua Huang & Teresa Serra & Philip Garcia, 2021. "The Value of USDA Announcements in the Electronically Traded Corn Futures Market: A Modified Sufficient Test with Risk Adjustments," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 712-734, September.
    30. Andrew M. McKenzie & Jessica L. Darby, 2017. "Information Content of USDA Rice Reports and Price Reactions of Rice Futures," Agribusiness, John Wiley & Sons, Ltd., vol. 33(4), pages 552-568, September.
    31. Olga Isengildina-Massa & Scott H. Irwin & Darrel L. Good & Jennifer K. Gomez, 2008. "Impact of WASDE reports on implied volatility in corn and soybean markets," Agribusiness, John Wiley & Sons, Ltd., vol. 24(4), pages 473-490.
    32. Lehecka, Georg V., 2014. "The Value of USDA Crop Progress and Condition Information: Reactions of Corn and Soybean Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-18, April.
    33. Peterson, Hikaru Hanawa & Tomek, William G., 2000. "Commodity Price Behavior: A Rational Expectations Storage Model of Corn," Working Papers 127682, Cornell University, Department of Applied Economics and Management.
    34. Jesse Tack & Keith H. Coble & Robert Johansson & Ardian Harri & Barry J. Barnett, 2019. "The Potential Implications of “Big Ag Data” for USDA Forecasts," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 668-683, December.
    35. Sanders, Dwight R. & Manfredo, Mark R., 2006. "Multiple Horizons and Information in USDA Production Forecasts," 2006 Conference, April 17-18, 2006, St. Louis, Missouri 18997, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    36. Ji, Qiang & Guo, Jian-Feng, 2015. "Market interdependence among commodity prices based on information transmission on the Internet," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 426(C), pages 35-44.
    37. Etienne, Xiaoli L. & Farhangdoost, Sara & Hoffman, Linwood A. & Adam, Brian D., 2023. "Forecasting the U.S. season-average farm price of corn: Derivation of an alternative futures-based forecasting model," Journal of Commodity Markets, Elsevier, vol. 30(C).
    38. Isengildina, Olga & Irwin, Scott H. & Good, Darrel L., 2005. "The Value of USDA Situation and Outlook Information in Hog and Cattle Markets," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19050, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

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